Side-by-side comparison of AI visibility scores, market position, and capabilities
Virtual eating disorder treatment using family-based therapy, San Diego CA, raised $58M+. First at-home model for anorexia and bulimia treatment in the US.
Equip Health is a San Diego, California-based virtual care company founded in 2019 that specializes in treating eating disorders including anorexia, bulimia, binge eating disorder, and avoidant restrictive food intake disorder (ARFID). The company has raised over $58 million and has pioneered a virtual delivery model for family-based treatment (FBT), the gold-standard evidence-based therapy for adolescent eating disorders, making intensive evidence-based care accessible outside of residential treatment programs.\n\nEquip's care model assembles a five-person care team for each patient: a therapist, a dietitian, a physician, a family mentor, and a peer mentor — all coordinating through the platform. This team-based virtual approach mirrors the multidisciplinary structure of leading eating disorder treatment centers while eliminating the geographic and financial barriers that prevent most patients from accessing residential care. Sessions are conducted by video with the patient and their family, with meal support and between-session coaching embedded in the program.\n\nThe company distributes its services through insurance coverage, accepting major commercial plans and working to expand Medicaid coverage. Eating disorders carry the highest mortality rate of any psychiatric illness, yet treatment access is severely limited in the United States. Equip's virtual model has treated patients across all 50 states, demonstrating the feasibility of delivering intensive eating disorder care at home and positioning the company as a national provider in a historically fragmented specialty.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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